brenda-database

Extracts Um, U, and U-shaped knowledge from authoritative sources.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Org-GAgent/result-interpreter --skill brenda-database-org-gagent
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: brenda-database
Source: https://github.com/Org-GAgent/result-interpreter/tree/main/.skills/scientific-skills/brenda-database
Command: npx skills add https://github.com/Org-GAgent/result-interpreter --skill brenda-database-org-gagent

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires zeep, requests, pandas, numpy, matplotlib, seaborn, networkx, and includes scripts (resource) and references (resource) components.

What problem does it solve?

BRENDA provides a comprehensive enzyme knowledge base; this skill enables researchers to programmatically access Km, kcat, reaction equations, organism data, and substrate-specific enzyme information via SOAP API to accelerate biochemical research and pathway design.

Core Features & Use Cases

  • Km retrieval and cross-organism comparisons across enzymes and substrates to support enzyme selection.
  • Reaction equations, organism data, and substrate specificity analyses to inform metabolic reconstruction and enzyme discovery.
  • Pathway planning and environmental parameter analysis to guide experimental design and process optimization.

Quick Start

Run an initial Km data query for EC 1.1.1.1 and explore results with the provided brenda_client helpers.

Frequently Asked Questions about brenda-database

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I retrieve enzyme Km values from the BRENDA database for cross-organism comparison?

To retrieve Km values for cross-organism comparison, query the BRENDA SOAP API using valid EC numbers and organism names. The skill fetches substrate-specific Km data and supports comparative analyses across multiple organisms.

Can I use BRENDA SOAP API for retrosynthetic pathway planning and reaction equation analysis?

Yes, you can use the BRENDA SOAP API for retrosynthetic pathway planning. The skill fetches reaction equations and organism-specific enzyme data to inform metabolic reconstruction and support pathway design across multiple organisms.

Do I need valid BRENDA credentials and specific Python dependencies to access enzyme kinetics data?

Yes, you need valid BRENDA credentials and Python dependencies like zeep and requests to access enzyme kinetics data. The skill uses these to connect to the SOAP API and fetch kcat and Km values with rate limiting.

What is the best way to query substrate specificity and environmental parameters for enzyme discovery?

The best way to query substrate specificity and environmental parameters is by providing properly formatted substrates and EC numbers to the BRENDA API. This enables substrate-specific queries and environmental parameter analysis to guide enzyme discovery workflows.

How do I visualize biochemical pathways and enzyme kinetics data using Python?

To visualize biochemical pathways and enzyme kinetics data, the skill utilizes Python libraries like matplotlib, seaborn, and networkx. These dependencies help plot Km comparisons and build pathway networks from the fetched BRENDA API data.

Why does my BRENDA SOAP API query fail when searching for organism-specific enzyme data?

Your BRENDA SOAP API query for organism-specific enzyme data may fail due to improperly formatted EC numbers, substrates, or missing credentials. The skill includes robust error handling and rate limiting to manage these connection and formatting constraints.